Sr Analyst - Supply Chain

Nutrabay; Gurugram District; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Friendly atmosphere

High learning personal growth

Flexible timings

Diverse work environment

Job summary

Nutrabay is seeking a Senior Analyst - Supply Chain in Gurugram to own analytics across fulfilment, logistics, inventory and CS. You will build data-driven models, prototype algorithmic tools, and partner with product/engineering to implement scalable solutions.

The role requires 3–5 years in D2C/e-commerce, strong SQL, and experience with BI tools. You will own dashboards, monitor KPIs, and drive cross-functional collaboration with procurement, CS, and operations.

Qualifications

• Hands-on D2C/E-commerce experience in a high-velocity consumer business.
• Reasoning about how orders should be allocated across fulfilment and logistics partners, and how a network should evolve as business scales.
• Analyzing order and delivery patterns to flag fraud and RTO risk.
• Comfort querying and modelling on a data warehouse to build data cuts for multiple functions.
• Ability to scope and prototype rule-based or lightweight algorithmic tools for decisions.
• Building scorecards for support quality/efficiency and automation opportunities.
• Analysing vendor-level data to guide procurement decisions and redundancy risk.
• Tracking project impact from baseline through to KPI targets and post-implementation validation.
• Proficient in Excel/Sheets and a BI tool (Power BI) for reporting.

Responsibilities

• Build data-driven logic for allocating orders across fulfilment locations and courier partners.
• Assess how the fulfilment network should evolve with growth and new geographies.
• Translate operational questions into data-backed algorithms that run decisions end-to-end.
• Model stock requirements at the fulfilment-location level across the network.
• Minimize stockouts and overstock by optimizing inventory positioning across locations.
• Develop COD/RTO fraud protection by identifying at-risk patterns and building risk scores.
• Provide vendor intelligence to procurement with clear buy/avoid guidance.
• Create cross-functional data cuts and dashboards for warehouse, logistics and CS.
• Prototype algorithmic tools with product and engineering and push to production when justified.
• Own and maintain SC dashboards and MIS used by multiple teams.
• Set early-warning indicators to catch issues before escalation.
• Track projects with baselines, owners, timelines and post-implementation impact.

Skills

D2C / E-commerce Background

Supply Chain Analytics

COD RTO Risk Analysis

Data Modelling SQL

Algorithmic Product Thinking

AI-Assisted Building

Customer Support Analytics

Vendor Performance Analytics

Project Impact Tracking

Cross-Functional Data Analysis

Excel/Google Sheets

Power BI

Python for scripting

Tools

Excel/Google Sheets

Power BI

Redshift

Job description

Job Description - Senior Analyst - Supply Chain

You should apply if you have:

• Prior D2C or e-commerce background - you already understand the complexity of order-to-delivery systems, multi-node fulfilment, and the operational quirks of a high-velocity consumer business, so youre not learning the domain from scratch
• A sharp analytical mind with genuine curiosity about how logistics networks, warehouses, and support operations actually work end to end
• Strong quantitative comfort - you can model fulfilment and logistics allocation, inventory positioning, vendor performance, and RTO/COD risk with real rigour
• A builders instinct - you dont stop at a dashboard; you want to prototype the algorithmic product (an allocation engine, a fraud score, a routing rule) that fixes the problem programmatically
• An AI-first workflow - you use LLMs and vibe coding tools to build working prototypes, not just slides
• Comfort operating across multiple functions at once - warehouse, logistics, customer support, production, and procurement all draw on your intelligence layer
• High ownership through to closure - you dont stop at I shared the analysis; you track whether the fix actually moved the metric
• Ownership-driven attitude - you investigate problems no one assigned to you and push recommendations through to adoption

You should not apply if you:

• Dont have prior D2C or e-commerce exposure - this role assumes you already understand that operating environment; it isnt a place to learn it from zero
• Are looking to run day-to-day warehouse or logistics operations - this is an intelligence and analytics role that informs ops, not an ops role itself
• Need a long ramp time - we expect you to get conversant across WH, logistics, CS, production, and procurement context quickly
• Are uncomfortable holding several functions in your head at once and prioritizing across them
• See your job as ending at a report - here the goal is often a working algorithmic product, not just a recommendation
• Consider your job done once a dashboard ships - you need to keep watching it and flag when something breaks

Skills Required:

Must-Have

• D2C / E-commerce Background: hands-on experience in a D2C, quick-commerce, or high-velocity consumer business - this is non-negotiable, since its what lets you understand the complexity of our systems from day one
• Supply Chain Logistics Analytics: reasoning about how orders should be allocated across fulfilment and logistics partners, and how a fulfilment network should evolve as the business scales
• COD RTO Risk Analysis: analysing order and delivery patterns to flag fraud and RTO risk
• Data Modelling SQL: comfortable querying and modelling on a warehouse (Redshift or similar) to build data cuts for multiple functions
• Algorithmic Product Thinking: able to scope and prototype rule-based or lightweight algorithmic tools that automate a decision (allocation, routing, cancellation prediction) rather than just reporting on it
• Customer Support Ops Analytics: building scorecards for support quality/efficiency and identifying automation opportunities, including voice agent/IVR use cases
• Vendor Performance Analytics: analysing vendor-level data (fill rate, quality, lead time, cost) to help procurement decide when to de-risk away from a vendor or push for more utilization from one
• Structured Project Impact Tracking: taking a finding from problem statement and baseline through to a tracked project with a target KPI, and validating after the fact whether it actually moved the number
• Analytics Tools: Excel/Google Sheets for modelling and a BI tool (Metabase/Power BI) for reporting
• AI-Assisted Building: using LLMs and vibe coding tools to prototype logistics and CS intelligence tools quickly

Good to Have

• Python for scripting data pulls, automations, or lightweight algorithmic prototypes
• Prior exposure to COD/RTO fraud protection systems
• Familiarity with WMS/OMS platforms or courier aggregators
• Exposure to voice agent/IVR or CS automation platforms
• Basic optimization or linear-programming concepts for allocation/inventory problems

What will you do

Fulfilment Logistics Allocation Intelligence

• Build data-driven logic for how orders should be allocated across fulfilment locations and courier partners
• Assess how the fulfilment network should evolve as order volumes and geographies grow, and where new locations would help
• This kind of business case - going from a raw operational question to a data-backed algorithm that runs the decision - is representative of the business cases and product algorithms youll own end to end in this role

Inventory Optimization

• Build models to project stock requirements at the fulfilment-location level across the network
• Minimize stockouts and overstock by improving how inventory is positioned across locations

COD RTO Fraud Protection

• Analyse COD order patterns to identify at-risk pin codes, customers, and order profiles
• Build and monitor fraud/risk scoring systems that flag orders before dispatch

Vendor Intelligence for Procurement

• Analyse vendor-level performance - fill rate, quality, lead time, cost - to give procurement a clear, data-backed view of each vendor
• Help procurement decide when to de-risk away from a vendor versus when to push for greater utilization from one

Customer Support Intelligence

• Build scorecards for CS quality and efficiency across support channels
• Identify automation opportunities, including voice agents, and monitor cancellation drivers and reduction levers

AI Algorithmic Products for Supply Chain

• Partner with product and engineering to scope and prototype algorithmic tools that automate fulfilment, routing, and cancellation-related decisions
• Push prototypes from spreadsheet logic to production-ready tools where the impact justifies it

Own Supply Chain Ops Reporting

• Be the single go-to person for all supply chain and operations reporting - fulfilment, logistics, warehouse, inventory, and CS metrics
• Build and maintain the dashboards and MIS that warehouse, logistics, CS, and production teams rely on day-to-day
• Make sure every function has one consistent, trusted source of truth for its numbers instead of everyone pulling their own

Proactive Monitoring Early-Warning

• Closely monitor supply chain and ops KPIs so youre the first to know when something breaks - a fulfilment delay, a courier SLA slip, a spike in cancellations or RTO
• Build early-warning indicators that catch a problem before it snowballs into a stakeholder escalation
• Flag anomalies proactively and get the right team looking at it immediately, rather than waiting to be asked

Track Projects Through to Impact

• For every recommendation you drive, define the baseline, target KPI, owner, and timeline upfront
• Follow through post-implementation to confirm whether the change actually moved the metric, not just that it shipped
• Maintain visibility of open supply chain and ops projects - status, risk, and expected versus actual impact

Cross-Functional Data Cuts

• Act as the single source of intelligence for warehouse, logistics, CS, production, and procurement teams
• Give each function the right data cuts, dashboards, and recommendations to act on

Reporting Stakeholder Communication

• Present supply chain health, fraud trends, vendor risk, and automation impact to founders and functional heads
• Translate complex operational data into clear, actionable narratives

Work Experience:

3-5 years of experience, with a D2C/e-commerce background required

Working days:

Monday - Friday

Location:

Golf Course Ext. Road, Gurugram, Haryana (Work from Office)

Perks:

• - Friendly atmosphere
• - High learning personal growth opportunity
• - Flexible timings
• - Diverse work environment

Why Nutrabay:

We believe in an open, intellectually honest culture where everyone is given the autonomy to contribute and do their lifes best work. As part of the dynamic team at Nutrabay, you will have a chance to learn new things, solve new problems, build your competence, and be a part of an innovative marketing-and-tech startup thats revolutionising the health industry.

Working with Nutrabay can be fun and a place of unique growth opportunities. Here you will learn how to maximise the potential of your available resources. You will get the opportunity to do work that helps you master a variety of transferable skills, or skills that are relevant across roles and departments. You will feel appreciated and valued for the work you deliver. We are creating a unique company culture that embodies respect and honesty, which will create more loyal employees than a company that simply shells out cash. We trust our employees and their voice and ask for their opinions on important business issues.

About Nutrabay:

Nutrabay is the largest health nutrition store in India. Our vision is to keep growing, have a sustainable business model, and continue to be the market leader in this segment by launching many innovative products. We are proud to have served over 1 million customers until now, and our family is constantly growing.

We have built a complex and high-converting eCommerce system, and our monthly traffic has grown to a million. We are looking to build a visionary and agile team to help fuel our growth and contribute to further advancing the continuously evolving product.

Funding:

We raised $5 million in a Series A funding.

Required Skills

• Root Cause Analysis
• Business Analysis
• Problem Solving
• Supply Chain Analytics
• Excel / Google Sheets
• data analysis
• Ecommerce operations
• competition bechmarking
• Logical reasoning
• Stakeholder Management

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.